Standardization of mixed fruit cheese from Guava (Psidiumguajava cv. Hisar Safeda) and Mango (Mangiferaindica var. Safeda) and its quality evaluation during storage

The present investigation was carried out to prepare fruit cheese, a fruit confectionery prepared by combining fruit pulp with sugar, pectin and acid from blended fruit pulp of guava (Psidiumguajava) and mango (Mangiferaindica). The storage studies of mixed fruit cheese packed in HDPE bags showed significant changes in chemical properties during three months storage. Total sugars, reducing sugars and browning increased significantly from 66.8 to 68.7 %, 21.1 to 23.4 % and 0.25 to 0.37, while carotenoids and total phenols decreased significantly from 1.2 to 0.7 mg/100g and 39.1 to 35.2 mg/100g in guava-mango cheese during storage. Carotenoids was maximum (2.5 mg/100g) in guava-mango cheese containing highest mango pulp content, while ascorbic acid and total phenols was maximum (13.0 and 54.7 mg/100g) in cheese with highest guava pulp content. The cost of production was found minimum (Rs. 140/kg) in guava-mango cheese with 100 guava: 0 mango pulp ratio and increasing concentration of mango pulp showed a increasing trend in the cost of production of fruit cheese

Maximal supergravity and the quest for finiteness

We show that N = 8 supergravity may possess an even larger symmetry than previously believed. Such an enhanced symmetry is needed to explain why this theory of gravity exhibits ultraviolet behaviour reminiscent of the finite N = 4 Yang-Mills theory. We describe a series of three steps that leads us to this result.Comment: 7 pages, Honorable Mention - Gravity Research Foundation 201

Exceptional versus superPoincar\'e algebra as the defining symmetry of maximal supergravity

We describe how one may use either the superPoincar\'e algebra or the exceptional algebra to construct maximal supergravity theories in the light-cone formalism. The d=4 construction shows both symmetries albeit in a non-linearly realized manner. In d=11, we find that we have to choose which of these two symmetries to use, in constructing the theory. In order to understand the other "unused" symmetry, one has to perform a highly non-trivial field redefinition. We argue that this shows that one cannot trust counterterm arguments that do not take the full symmetry of the theory into account. Finally we discuss possible consequences for Superstring theory and M-theory.Comment: 22 page

Coordination and Control for a Team of Mobile Robots in an Unknown Dynamic Environment

This research presents a dual-level control structure for controlling a mobile robot or a group of robots to navigate through a dynamic environment (such as an object is moving in the workspace of a robot). The higher-level controller operates in cooperation with robot’s state estimation and mapping algorithm, Extended Kalman Filter – Simultaneous Localization and Mapping (EKFSLAM), and the lower-level controller (PID) controls the motion of the robot when it, encounters an obstacle, i.e., it reorients the robot to a predefined rebound angle and move it straight to maneuver around the obstacle until the robot is out of the obstacle range. The higher-level controller jumps in as soon as the robot is out of the obstacle range and moves the robot to the goal. The obstacle avoidance technique involves a novel approach to calculate the rebound angle. Further, the research implements the aforementioned technique to a Leader-Follower formation. Simulation and Experimental results have verified the effectiveness of the proposed control law

Emotion Work and its Mediating Role on Employees Health

In recent years the major focus of health psychologists is to understand the role of individual differences in the performance of emotion work and its health outcome Individual difference in temperament and emotional intelligence appear to play an important role in predicting emotion work which largely influences the physical and psychological health of customer service workers The literature indicates that workers who experience frequent negative emotions and emotional dissonance may suffer from physical health problems which in turn impair their cognitive health leading to a sense of stagnation towards work life By using cross sectional descriptive survey on 400 customer service workers across the country the study examines the mediating role of emotion work between a emotionality and emotional exhaustion and b emotional intelligence and psychological wellbeing The subjects were assessed on temperament emotional intelligence emotion work psychological wellbeing and on emotional exhaustion Correlational analysis showed that negative emotions and emotional dissonance were significantly positively related with both emotional exhaustion and emotionality followed by its negative association with psychological wellbeing and emotional intelligence Mediation analysis revealed that emotional dissonance mediates the relationship between emotionality and emotional exhaustion Also negative emotions mediated the relationship between emotional intelligence and psychological wellbeing The study highlights the need for assessing the emotionality of individual as a potential source to guide and refine employee selection along with development of methods and techniques to buffer the negative effects of emotion wor

An Analysis of Rhythmic Staccato-Vocalization Based on Frequency Demodulation for Laughter Detection in Conversational Meetings

Human laugh is able to convey various kinds of meanings in human communications. There exists various kinds of human laugh signal, for example: vocalized laugh and non vocalized laugh. Following the theories of psychology, among all the vocalized laugh type, rhythmic staccato-vocalization significantly evokes the positive responses in the interactions. In this paper we attempt to exploit this observation to detect human laugh occurrences, i.e., the laughter, in multiparty conversations from the AMI meeting corpus. First, we separate the high energy frames from speech, leaving out the low energy frames through power spectral density estimation. We borrow the algorithm of rhythm detection from the area of music analysis to use that on the high energy frames. Finally, we detect rhythmic laugh frames, analyzing the candidate rhythmic frames using statistics. This novel approach for detection of `positive' rhythmic human laughter performs better than the standard laughter classification baseline.Comment: 5 pages, 1 figure, conference pape